First-principles and machine learning insights into the design of DOTT-carbon and its lithium-ion storage capacity

Two-dimensional (2D) carbon-based materials are promising candidates for developing more efficient green energy conversion and storage technologies.

Authors

Alysson Martins Almeida Silva (ORCID: https://orcid.org/0000-0001-6474-5691)
K. A. L. Lima (ORCID: https://orcid.org/0000-0003-4699-5886)
Luiz Antônio Ribeiro (ORCID: https://orcid.org/0000-0001-7468-2946)
Andre Abreu

Institutions

Universidade de Brasília (BR)

Publication Details

Journal: Journal of Materials Chemistry A
Published: 2025-01-01
DOI: https://doi.org/10.1039/d5ta01619c
Citations: 7
Primary Topic: Semiconductor materials and devices
Type: article
Field-Weighted Citation Impact: 5.11

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

First-principles and machine learning insights into the design of DOTT-carbon and its lithium-ion storage capacity

Alysson Martins Almeida Silva, K. A. L. Lima, Luiz Antônio Ribeiro, Andre Abreu

Jan 1, 2025

7 citations

Journal of Materials Chemistry A

Semiconductor materials and devices

5.11

article

First-principles and machine learning insights into the design of DOTT-carbon and its lithium-ion storage capacity

Alysson Martins Almeida Silva, K. A. L. Lima, Luiz Antônio Ribeiro, Andre Abreu

January 1, 2025article en

7 citations

Abstract

Two-dimensional (2D) carbon-based materials are promising candidates for developing more efficient green energy conversion and storage technologies.

Journal of Materials Chemistry AVol. 13(21)

Universidade de Brasília (BR)

Openalex Percentile: Top 5%

Semiconductor materials and devices

5.11

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

First-principles and machine learning insights into the design of DOTT-carbon and its lithium-ion storage capacity — Alysson Martins Almeida Silva, K. A. L. Lima, et al. · Journal of Materials Chemistry A (2025) | TGRS Research Map | TGRS